MMLU-by-task - Miscellaneous: leaderboard
The "Miscellaneous" subtask of MMLU-by-task. A single MMLU subject, reporting per-task multiple-choice accuracy from the MMLU-by-task leaderboard across a wide range of academic and professional domains.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 1257 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Xwin-LM-70B-V0.1 | 86.59 | #982 |
| 2 | Llama 2 70B Base | 86.21 | #1025 |
| 3 | StableBeluga2 | 86.08 | #1078 |
| 4 | Llama 2 70B Chat | 85.95 | #1237 |
| 5 | Llama 2 70B Chat (HF) | 82.76 | #1264 |
| 6 | WizardLM-70B-V1.0 | 82.76 | #1236 |
| 7 | Mistral-7B-v0.1 | 81.74 | #1326 |
| 8 | internlm-20B | 78.54 | #1296 |
| 9 | vicuna-33B-v1.3 | 77.39 | #1347 |
| 10 | MythoMax-L2-13B | 76.88 | #1409 |
| 11 | Chinese-Alpaca-2-13B | 75.22 | #1414 |
| 12 | vicuna-13B-v1.5 | 74.97 | #1392 |
| 13 | OpenHermes-13B | 74.97 | #1393 |
| 14 | Llama 2 13B Chat Base | 74.71 | #1422 |
| 15 | falcon-40B Instruct | 74.2 | #1458 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-miscellaneous · How It Works · Data refreshed daily, snapshot 2026-10-20.